Description Usage Arguments Value
View source: R/step_ahead_forecast.R
Function to calculate the step ahead forecasting for a proposed Prediction method
1 | step_ahead_forecast(dataIn, trainedData, MethodPath, errorParameter, stepSize)
|
dataIn |
as input time series for testing |
trainedData |
as partition point of input data 'dataIn' |
MethodPath |
as as location of function for the proposed imputation method |
errorParameter |
as type of error calculation (RMSE, MAE or MAPE) |
stepSize |
as interval at which step by step prediction will be done (Possible values are 1 & 2) |
returns the plot for one/two step ahead prediction along with error values decided by 'errorParameter'
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